TY - GEN
T1 - Uncertainty considerations in the dynamics of gear-pair
AU - Alemayehu, Fisseha M.
AU - Ekwaro-Osire, Stephen
PY - 2012
Y1 - 2012
N2 - Gears and Gear systems are subjected to uncertainty of design parameters and loading caused by inherent conditions, measurement and manufacturing errors. Hence, the motivation of this work is to improve the deterministic design practice of gears and gear systems. A probabilistic rigid multibody dynamic gear-pair model with design and load uncertainties has been developed and analyzed. Rigid gear-pair model was developed in multibody dynamics software ADAMS and parameter uncertainty and probabilistic analysis was performed from separate probabilistic software called NESSUS. To perform the probabilistic multibody analysis, ADAMS and NESSUS were interfaced using MATLAB. The effect of parameter uncertainty on dynamic factor, DF of a gear pair was investigated. The sensitivity of DF to five uncertain loading and design parameters were also determined. This paper has demonstrated the importance of the novel PMBD modeling approach to gear design and dynamic factor analysis. The method has brought a new dimension of design approach of gears and gear systems than traditional approach that considers a certain empirically defined dynamic rating factors. In addition to revealing system reliability or under-performance through probability of failure, it also helps designers to consider certain variables critically through the sensitivity results.
AB - Gears and Gear systems are subjected to uncertainty of design parameters and loading caused by inherent conditions, measurement and manufacturing errors. Hence, the motivation of this work is to improve the deterministic design practice of gears and gear systems. A probabilistic rigid multibody dynamic gear-pair model with design and load uncertainties has been developed and analyzed. Rigid gear-pair model was developed in multibody dynamics software ADAMS and parameter uncertainty and probabilistic analysis was performed from separate probabilistic software called NESSUS. To perform the probabilistic multibody analysis, ADAMS and NESSUS were interfaced using MATLAB. The effect of parameter uncertainty on dynamic factor, DF of a gear pair was investigated. The sensitivity of DF to five uncertain loading and design parameters were also determined. This paper has demonstrated the importance of the novel PMBD modeling approach to gear design and dynamic factor analysis. The method has brought a new dimension of design approach of gears and gear systems than traditional approach that considers a certain empirically defined dynamic rating factors. In addition to revealing system reliability or under-performance through probability of failure, it also helps designers to consider certain variables critically through the sensitivity results.
UR - http://www.scopus.com/inward/record.url?scp=84887305051&partnerID=8YFLogxK
U2 - 10.1115/IMECE2012-89751
DO - 10.1115/IMECE2012-89751
M3 - Conference contribution
AN - SCOPUS:84887305051
SN - 9780791845202
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
SP - 1123
EP - 1132
BT - ASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012
T2 - ASME 2012 International Mechanical Engineering Congress and Exposition, IMECE 2012
Y2 - 9 November 2012 through 15 November 2012
ER -